Frequency Distributions
Central Tendency
Variability
z scores
Probability
100

an organized tabulation showing the number of individuals located in each category on the scale of measurement.

frequency distribution

100

the score or category that has the greatest frequency

mode

100

provides a quantitative measure of the differences between scores in a distribution and describes the degree to which the scores are spread out or clustered together

variability

100

a single measurement or observation

raw score

100

a fraction or a proportion of all the possible outcomes

probability

200

one side of the distribution is a mirror image of the other

symmetrical distribution

200

is a statistical measure to determine a single score that defines the center of a distribution

central tendancy

200

the average squared distance from the mean

variance

200

scores that have been transformed to create predetermined values

standardized distribution
200

each individual in the population has an equal chance of being selected

random sampling

300

the scores tend to pile up toward one end of the scale and taper off gradually at the other end

skewed distribution

300

the midpoint of the list

median

300

average distance from the mean

standard deviation

300

z= x-(babymu)/ standard deviation

population z score formula

300

an equal chance of being selected and that the probability of being selected stays constant from one selection to the nex

independent random sampling

400

The section where the scores taper off toward one end of a distribution

tail(s) of a distribution

400

population mean

little mu

400

n-1

degrees of freedom

400

z=X-M/s

population z score

400

a sample created under the condition that the probability of being selected stays constant from one selection to the next

random sample

500

scores such as IQ scores

standardized

500

sample mean

M

500

the average value of the statistic is equal to the population paramete

unbiased statistic

500

formula to translate z score back into number for sample

X=M+zs

500

measure the relative standing of a score within a distribution

percentile

M
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